What does 7.3 require?

WA health entities must take steps to ensure staff are adequately informed, trained and qualified if they are to use or implement AI systems for work purposes, reflecting the organisation's current and intended use cases and aligning with the acceptable use and ethics principles sections of the standard. They identify the training and skills their workforce needs to support and deliver services based on AI systems, which may include a general understanding of AI systems; the responsible, ethical and legal use of AI; the skills to interact with and interpret AI-generated insights; the training or qualifications for specialised roles such as clinical validation or data management; capability in areas responsible for governance such as clinical governance, ethical review and local ICT governance or support; the knowledge to identify and respond to risks associated with AI systems; and the knowledge to identify and respond to changes in the regulatory environment. Copies of local education and awareness strategies are provided to the System Manager on request.

WA Health Artificial Intelligence Policy MP 0193/25 and...

Other controls in Standard section 7 WA health entity requirements: strategic alignment, governance, workforce capability, risk and assurance, contract management – WA Health Artificial Intelligence Policy MP 0193/25 and Standard

7.1 Strategic alignment: AI use aligns with the WA Health Digital Strategy and Sustainable Health Review priorities, optimising investment for patient benefit, meeting clinical safety and quality standards and addressing priority areas, building staff capability and organisational maturity, and reducing cost and waste by recognising whole-of-life cost and seeking system-wide collaboration, under the strategic oversight of the AI Oversight Committee reporting to the Digital Health Steering Committee
7.2 Governance: comply with the WA Government AI Policy and Assurance Framework; define accountability and responsibilities for responsible AI adoption, including an executive AI Accountable Officer with overall responsibility for the entity's AI strategy and its alignment with ethics, strategy, policy, law and the external environment; keep AI governance consistent with existing clinical safety and quality, ethics, digital health, ICT, information and research governance; make sufficient expertise available to the bodies and officers who review and approve AI proposals; and keep knowledge current, amending local policy, procedures and contracts as needed, building on existing governance groups where appropriate
7.4 Risk and assurance: before implementing a new AI use case or project undertake the Office of Digital Government AI self-assessment unless an exception applies, have it approved by a suitable Authorised Officer, provide it to the overseeing digital health, clinical and research governance bodies and transfer the results to a risk system or register; follow existing processes for digital health governance, information use and disclosure, cyber and cloud security and, where applicable, patient safety risk management, clinical governance and research governance; document ongoing monitoring, evaluation, reporting and risk management plans, using specialist guidance, AI risk frameworks and external auditors as risk and complexity require; provide user feedback channels and awareness of incident and breach policies; identify ongoing accountabilities; and seek legal advice where compliance concerns arise
7.5 Contract management: when contracting for ICT, digital health systems and medical technology specify in writing that the vendor declares the nature of any AI in its products and services, notifies the contract manager of any new or updated AI feature, allows the customer to opt out of AI features, and provides assurance of ongoing adherence to the entity's requirements including AI specifications given in procurement, digital security under the Information Security Policy and information governance under the Information Access, Use and Disclosure Policy; and clarify liabilities and indemnities, especially any departure from standard terms

Query this from an agent

The graph holds this control, the 0 it maps to, and the evidence behind each claim, over MCP and REST.

MCP endpoint All WA Health Artificial Intelligence Policy MP 0193/25 and Standard controls